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A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings

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Distributed Partial Discharge Locating and Detecting Scheme Based on Optical Fiber Rayleigh Backscattering Light

Zhengxian Zhou¹, Hao Liu¹, Dawei Zhang²

¹Anhui Province Key Laboratory of Optoelectric Materials Science and Technology, Anhui Normal University, Wuhu 241002, China.

Sensors (Basel, Switzerland)

|February 28, 2023

Summary

This study introduces a novel optical fiber sensor system for detecting and locating partial discharge in electrical equipment. The system achieves high accuracy and improved signal-to-noise ratio, offering a new method for multipoint distributed sensing.

Keywords:

backscattering light interference locating optical fiber sensor partial discharge

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Area of Science:

Electrical Engineering
Sensing Technology
Optical Physics

Background:

Optical fiber sensors offer superior anti-electromagnetic interference for partial discharge detection.
Multipoint distributed detection and location are crucial for electrical equipment monitoring.
Existing methods may face limitations in accuracy and signal quality.

Purpose of the Study:

To experimentally demonstrate a distributed partial discharge location and detection scheme using optical fiber Rayleigh backscattering light interference.
To develop and apply a location and extraction algorithm for demodulating partial discharge signals.
To evaluate the system's performance in terms of detection sensitivity, location accuracy, and signal-to-noise ratio.

Main Methods:

Utilizing optical fiber Rayleigh backscattering light interference for distributed sensing.
Implementing a location and extraction algorithm for signal demodulation.
Employing a high-pass filter to mitigate low-frequency and environmental noise.

Main Results:

The proposed system successfully detected partial discharge signals with a sensitivity to metal needle discharge.
The detectable frequency range was determined to be 0-2.5 kHz.
Ten locating tests demonstrated a maximum location error of 1.0 m and a maximum standard deviation of 0.3795.
Significant improvements in signal-to-noise ratio (SNR) were achieved, reaching 39.7 and 38.8 for the two sensing units after demodulation.

Conclusions:

The developed optical fiber sensor system provides an effective new method for multipoint distributed detection and location of partial discharge signals in long-distance electrical equipment.
The system exhibits high accuracy and enhanced signal quality, addressing key challenges in electrical equipment monitoring.
Further application of this technology can improve the reliability and safety of electrical infrastructure.